A three-dimensional pattern recognition localization system based on a Bayesian graphical model
Access points in wireless local area networks are deployed in many indoor environments. Device-free wireless localization systems based on available received signal strength indicators have gained considerable attention recently because they can localize the people using commercial off-the-shelf equ...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Hindawi - SAGE Publishing
2020-09-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147719884893 |
| _version_ | 1827079816437825536 |
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| author | Abdulraqeb Alhammadi Fazirulhisyam Hashim Mohd. Fadlee A Rasid Saddam Alraih |
| author_facet | Abdulraqeb Alhammadi Fazirulhisyam Hashim Mohd. Fadlee A Rasid Saddam Alraih |
| author_sort | Abdulraqeb Alhammadi |
| collection | DOAJ |
| description | Access points in wireless local area networks are deployed in many indoor environments. Device-free wireless localization systems based on available received signal strength indicators have gained considerable attention recently because they can localize the people using commercial off-the-shelf equipment. Majority of localization algorithms consider two-dimensional models that cause low positioning accuracy. Although three-dimensional localization models are available, they possess high computational and localization errors, given their use of numerous reference points. In this work, we propose a three-dimensional indoor localization system based on a Bayesian graphical model. The proposed model has been tested through experiments based on fingerprinting technique which collects received signal strength indicators from each access point in an offline training phase and then estimates the user location in an online localization phase. Results indicate that the proposed model achieves a high localization accuracy of more than 25% using reference points fewer than that of benchmarked algorithms. |
| first_indexed | 2024-03-12T06:50:50Z |
| format | Article |
| id | doaj.art-0e809df2cdc24f08b29d71af642e39cd |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2025-03-20T02:51:34Z |
| publishDate | 2020-09-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-0e809df2cdc24f08b29d71af642e39cd2024-10-03T07:26:33ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772020-09-011610.1177/1550147719884893A three-dimensional pattern recognition localization system based on a Bayesian graphical modelAbdulraqeb AlhammadiFazirulhisyam HashimMohd. Fadlee A RasidSaddam AlraihAccess points in wireless local area networks are deployed in many indoor environments. Device-free wireless localization systems based on available received signal strength indicators have gained considerable attention recently because they can localize the people using commercial off-the-shelf equipment. Majority of localization algorithms consider two-dimensional models that cause low positioning accuracy. Although three-dimensional localization models are available, they possess high computational and localization errors, given their use of numerous reference points. In this work, we propose a three-dimensional indoor localization system based on a Bayesian graphical model. The proposed model has been tested through experiments based on fingerprinting technique which collects received signal strength indicators from each access point in an offline training phase and then estimates the user location in an online localization phase. Results indicate that the proposed model achieves a high localization accuracy of more than 25% using reference points fewer than that of benchmarked algorithms.https://doi.org/10.1177/1550147719884893 |
| spellingShingle | Abdulraqeb Alhammadi Fazirulhisyam Hashim Mohd. Fadlee A Rasid Saddam Alraih A three-dimensional pattern recognition localization system based on a Bayesian graphical model International Journal of Distributed Sensor Networks |
| title | A three-dimensional pattern recognition localization system based on a Bayesian graphical model |
| title_full | A three-dimensional pattern recognition localization system based on a Bayesian graphical model |
| title_fullStr | A three-dimensional pattern recognition localization system based on a Bayesian graphical model |
| title_full_unstemmed | A three-dimensional pattern recognition localization system based on a Bayesian graphical model |
| title_short | A three-dimensional pattern recognition localization system based on a Bayesian graphical model |
| title_sort | three dimensional pattern recognition localization system based on a bayesian graphical model |
| url | https://doi.org/10.1177/1550147719884893 |
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